Neural Network Fingerprint Recognition

We have developed a neural network based approach for automated fingerprint recognition. Fingerprint image is classified via a multilayer
perceptron (MLP) classifier with one hidden layer. The backpropagation learning technique is used for its training. Selected features are represented in a special
way such that they are simultaneously invariant under shift, rotation and scaling. Simulation results are obtained with good detection ratio and low failure rate.
The proposed method is found to be reliable for a system with a small set of fingerprint data.